— In the News —
This online special edition of the Harvard Business Review explores what AI can and cannot do for your organization. There's a lot here and new parts are being added through July 26. For an overview of the series, check out the "Lineup" link at the top of the page.
The story of a duel between two men, one who dies, and the nature of the quest to build artificial intelligence.
Colin Kingen, software engineer for Wildbook, explains the technology driving data capture and wildlife research.
— Sponsored Link —
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— Tools and Techniques —
Jer Thorpe describes how taking a systems approach with your data will enable you to work more efficiently and give you deeper understanding. Jer is well-known in the data visualization community and he has a knack for seeing things that most people miss.
If you have a business use related to AI, there's probably a tool, app, or platform here to help.
Robert Chang from Airbnb's Engineering and Data Science team describes their machine learning infrastructure and how it enables their team to work effectively. Includes discussion about the tools and process they use for feature engineering, prototyping & training, model selection & validation, and deploying models to production.
Part four of a popular series from the Machine Learning at Berkeley organization. This part explores how to optimize parameters to minimize overfitting and underfitting. This whole series is very well done and the generous use of visuals makes it easy to follow.
These free courses from fast.ai are super popular. The latest, Computational Linear Algebra, includes an online textbook, a series of videos, and covers applications (using Python) such as how to identify the foreground in a surveillance video, how to categorize documents, the algorithm powering Google’s search, how to reconstruct an image from a CT scan, and more.
— In Case You Missed It —
Be sure to catch the most popular links from last week's issue...